AlphaEvolve and DeepMind achieve new matrix multiplication complexity record
August 18, 2026
Google DeepMind and collaborators used the Gemini-powered AlphaEvolve coding agent to establish a new theoretical upper bound for matrix multiplication complexity at omega < 2.371177. This advancement optimizes the core computational operation underpinning modern AI training and inference.
HOW THIS AFFECTS YOU
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builderLong-term optimizations in matrix multiplication can lead to more efficient hardware and software kernels.
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researcherThis provides a new benchmark for complexity theory and algorithmic research.